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Removed text due to this being due to a simple typo issue (the accepted answer gives the correct solution). I will mention that if anyone is using the "Learning Spark" O`Reilly Book from 2015, the typo described is actually present in Example 3-35. Moral of the story: don't trust that textbook code to be syntactically correct. Pay attention.
Have a closer look at your syntax.
Here's the corrected version a bit more structured.
import pyspark as ps
conf = ps.SparkConf().setMaster("local").setAppName("My App")
sc = ps.SparkContext(conf = conf)
nums = sc.parallelize([1,2,3,4])
f1 = lambda acc, value: (acc[0] + value, acc[1] + 1)
f2 = lambda acc1, acc2: (acc1[0] + acc2[0], acc1[1] + acc2[1]
nums.aggregate((0, 0), f1, f2)
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Python:
I have researched a lot into this, but as a beginner I don't understand the solutions, let alone apply them to my simple problem:
def min_max(xs):
xs = []
for i in xs:
y = (min, max)
return y
"local variable 'y' referenced before assignment"
I don't understand why this does NOT work!!
I've defined Y in the line before return, i know there is another way to do it, but i really need to know why this method is wrong!
Thanks!
assuming that min and max are defined somewhere else....
The loop for i in xs will go around once for each item in xs. Since xs is empty, the loop will not run at all. So, y is never set.
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I am new to machine learning. I am trying to learn feature selection from this link. Here they have a line of code which is given below
search = GridSearchCV(pipeline, grid, scoring='neg_mean_squared_error', n_jobs=-1, cv=cv)
But whenever I try to run this code I get the error
I cannot find where to import neg_mean_squared_error from. I am not sure where I should write the function myself or not. The tutorial isn't clear on this issue.
It is just a typo.
You need
neg_mean_absolute_error
You typed
neg_mean_absolure_error
using an r instead of t
Reference: https://scikit-learn.org/stable/modules/model_evaluation.html
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I am learning Haskell, studying for a midterm. there is a test quiz I'm looking at at the moment with questions on type inference. some of the questions contain forward slashes and I have no idea what they represent. the goal is to determine the type of the function by looking at its variables. here are some examples of the questions im supposed to find the type of:
f1 x = (/x)
f3 x = (x/)
f5 = (1/)
f6 = (/2)
I have googled with no luck, what does the forward slash mean?
These are sections: the expression (/x) is equivalent to \y -> y / x and (x/) is equivalent to \y -> x / y.
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I'm pasting in the formula:
=RANDBETWEEN(DATE(2014, 1, 1),DATE(2015, 1, 1))
which is mentioned in several tutorials but getting the Excel "error with function message". I'm in Ireland which is a different format but either way it doesn't work.
Anything else I have to do to generate random dates?
Try :
=RANDBETWEEN(41640,42005)
And format as date.
For some countries:
=RANDBETWEEN(41640;42005)
And format as date.
And if the 2nd works maybe just:
=RANDBETWEEN(DATE(2014; 1; 1);DATE(2015; 1; 1))
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def score = 0;
// terms: list of tokens
for(term in terms) {
q_term_freq = terms.countBy { it }[term]; // for frequency of each term in terms
term_freq = _index[field][term].tf();
doc_freq = _index[field][term].df();
score += term_freq * doc_freq * q_term_freq;
};
score;
When I run this I get an error `GroovyScriptExecutionException[MissingPropertyException[No such property: terms\u200b for class: Script86.
What is going wrong? AFAIK countBy is valid function.
\u200b is unicode for Zero Width Space.
Rewrite the script or make sure there is no unicode character present with terms.